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What are ‘pairs’ in an NLTK rule-based Python chatbot pattern-response design?
Understand how NLTK chatbot pairs define regular-expression patterns and associated response lists so the bot matches user input and returns the right reply in rule-based Python chatbots.
Question
Pairs in the chatbot are best described as…
A. HTML tag attributes
B. Pattern and response sets
C. SQL table relations
D. File compression methods
Answer
B. Pattern and response sets
Explanation
Pairs define what response to give for a given input.
In NLTK’s Chat class, pairs is a list where each item consists of a regex pattern and a list of possible responses to select from, enabling rule-based matching of user input.
The pattern captures parts of the user message and maps them into response templates using placeholders like %1, producing context-aware replies.
Rule-based chatbot tutorials describe pairs as the core mapping from user-input patterns to responses that the engine uses to generate outputs.
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